The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Entity Resolution and associated Customer 360 & Recommendations. This event is a 'Speed Dating' format with a focus on key topics for under 15 minutes in order to maximize insights. You'll learn from our experts on how Expero and TigerGraph technology can unlock the potential in your organization. We will feature unique Expero and TigerGraph technology lightning talks, followed by a short Q&A session.
KEY LEARNING TOPICS:
- Create a single view of each customer by connecting multiple silos of data (internal & external)
-Increase revenue by over 10% by finding the patterns in the customer journey that lead to improved cross-sell and up-sell; also identify patterns that lead to customer churn
- Increase the accuracy of machine learning insights for recommendations and churn prevention by 10%
- Use Graph & ML to unify data for preventive & predictive analytics
- Use Graph & ML for 'What If' Recommendations, Dependencies, and avoiding compounding bad data.
The focus of this webinar is to identify how Graph and Machine Learning can directly increase the accuracy and output of Entity Resolution and associated Customer 360 & Recommendations. This event is a 'Speed Dating' format with a focus on key topics for under 15 minutes in order to maximize insights. You'll learn from our experts on how Expero and TigerGraph technology can unlock the potential in your organization. We will feature unique Expero and TigerGraph technology lightning talks, followed by a short Q&A session.
KEY LEARNING TOPICS:
- Create a single view of each customer by connecting multiple silos of data (internal & external)
-Increase revenue by over 10% by finding the patterns in the customer journey that lead to improved cross-sell and up-sell; also identify patterns that lead to customer churn
- Increase the accuracy of machine learning insights for recommendations and churn prevention by 10%
- Use Graph & ML to unify data for preventive & predictive analytics
- Use Graph & ML for 'What If' Recommendations, Dependencies, and avoiding compounding bad data.
